Pricing

Pay per event

Clinicaltrials Scraper

Search 570K+ clinical trials from ClinicalTrials.gov. Get trial status, sponsors, conditions, interventions, phases, eligibility, and locations.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Stas Persiianenko

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Categories

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You can access the Clinicaltrials Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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          },
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          "phase": {
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          },
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ClinicalTrials.gov Scraper - Clinical Studies Data OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Clinicaltrials Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Clinicaltrials Scraper API in Python

Clinicaltrials Scraper API in JavaScript

Clinicaltrials Scraper API through CLI

Clinicaltrials Scraper API

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🔵 Easily collect clinical trials from ClinicalTrials Provide one or multiple search URLs and instantly extract key data 🆔 NCT ID📝 Recruitment Status 🧬 Conditions 🌍 Locations 🔗 Trial URL Perfect for research monitoring, condition trend analysis & staying ahead in clinical research insights 🔬

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fortuitous_pirate/clinicaltrials-scraper

Fortuitous Pirate

ClinicalTrials.gov API - Clinical Study Data

alizarin_refrigerator-owner/clinicaltrials-gov-api---clinical-study-data

ClinicalTrials.gov API - Clinical Study Data & Trial Registry Access ClinicalTrials.gov data for clinical studies worldwide. Search trials by condition, intervention, sponsor, phase, or location. Track drug development pipelines and find recruiting studies.

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martc03/nih-clinical-trials

Searches ClinicalTrials.gov for clinical trial data. Filter by condition, intervention, phase, and recruitment status. Full NIH trial registry access.

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Clinical Trial Tracker

ryanclinton/clinical-trial-tracker

Search ClinicalTrials.gov by disease, drug, sponsor, phase, or location. Returns structured trial data including interventions, eligibility, enrollment, and outcomes. Covers 500K+ studies. Free API, no key needed.

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labrat011/clinical-trials-scraper

Search ClinicalTrials.gov for studies by condition, intervention, sponsor, or keyword. Look up individual trials by NCT ID. No API key required.

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parseforge/clinicaltrials-scraper

Collect structured trial records on ClinicalTrials.gov. It supports keyword searches, country/location filters, built-in status/phase options, document availability indicators, and precise record limits so analysts can create medical research datasets in seconds.

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Clinical Trials FDA Scraper

constant_quadruped/clinical-trials-fda-scraper

Extract clinical trials from ClinicalTrials.gov and FDA data from openFDA APIs. Search by condition, drug, sponsor, or NCT ID. Get adverse events, drug labels, recalls, and device data. For pharma research and regulatory monitoring.

FDA Drug Pipeline Intelligence

funnyvalentine69/fda-drug-pipeline-intelligence

AI-powered natural language queries across ClinicalTrials.gov and openFDA. Get structured clinical trial data, adverse event reports, drug approvals, and drug labels with intelligent AI synthesis.